Support advanced analytics and predictive modeling that informs member growth, market potential, and branch network strategy.
Apply statistical, machine learning, and spatial analytics techniques to large enterprise datasets to identify patterns, forecast demand, and generate actionable insights for strategic planning.
Work closely with principal data scientists and geospatial analysts to develop models and analytical frameworks that enhance location intelligence, behavioral analytics, member insights, and market opportunity assessment.
Develop and evaluate predictive models to estimate member growth, market potential, and branch demand.
Apply statistical and machine learning techniques to identify drivers of member acquisition and engagement, member and market behavior, and value of a market.
Support model validation, performance assessment, and documentation.
Analyze member demographic, behavioral, and geographic data to generate market insights.
Contribute to market sizing, segmentation, and opportunity analyses.
Support development of demand and growth forecasting methodologies.

Requirements

Currently pursuing a graduate degree (MS or PhD) in Data Science, Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related quantitative field
Strong foundation in statistics, probability, and predictive modeling
Proficiency in Python or R for data analysis and modeling
Experience working with large datasets using SQL or similar tools
Demonstrated ability to structure and analyze complex, real-world data problems
Strong analytical reasoning and problem-solving skills
Ability to communicate technical concepts clearly
Curiosity, initiative, and ability to learn quickly in an applied business environment
**Desired:**
Experience with machine learning or predictive modeling projects
Experience with spatial, geographic, or demographic data
Familiarity with ETL processes and data preparation workflows
Experience with Alteryx and/or ArcGIS
Experience with feature engineering and model evaluation techniques
Experience with Databricks, Spark, or cloud data environments
Interest in applied analytics for market strategy, location intelligence, or growth analytics

Benefits

Health insurance
401(k) matching
Flexible working hours
Paid time off
Professional development opportunities

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

statistical analysismachine learningpredictive modelingdata analysisSQLfeature engineeringmodel evaluationETL processesdata preparationgeospatial analytics

Soft Skills

analytical reasoningproblem-solvingcommunicationcuriosityinitiativequick learning